2021 - IEEE Fellow For contributions to modeling, design, and optimization of networked systems
My T. Thai mainly focuses on Distributed computing, Computer network, Network topology, Approximation algorithm and Wireless network. His Distributed computing research is multidisciplinary, incorporating elements of Routing, Centrality, The Internet and Social network. His research in Social network intersects with topics in Computer security, Misinformation and Maximization.
His Network topology study incorporates themes from Telecommunications network and Graph theory. His research integrates issues of Theoretical computer science, Directed graph, Dominating set, Viral marketing and Distributed algorithm in his study of Approximation algorithm. His Wireless network research is multidisciplinary, incorporating perspectives in Wireless ad hoc network and Greedy algorithm.
His primary scientific interests are in Approximation algorithm, Distributed computing, Computer network, Mathematical optimization and Theoretical computer science. The various areas that My T. Thai examines in his Approximation algorithm study include Discrete mathematics, Maximization, Modularity, Bounded function and Viral marketing. His studies in Distributed computing integrate themes in fields like Telecommunications network, Network topology and Vulnerability.
My T. Thai studies Computer network, focusing on Wireless sensor network in particular. His biological study spans a wide range of topics, including Sensor node and Real-time computing. His work deals with themes such as Computational complexity theory, Graph and Robustness, which intersect with Theoretical computer science.
Approximation algorithm, Mathematical optimization, Maximization, Submodular set function and Artificial intelligence are his primary areas of study. His Approximation algorithm research incorporates elements of Node, Computer network, Topology and Viral marketing. His Computer network study incorporates themes from Matching and Distributed algorithm.
His Mathematical optimization research integrates issues from Network performance and Bounded function. His Maximization research incorporates themes from Linear programming and Binary logarithm. My T. Thai interconnects Discrete mathematics, Cover, Computer security, Greedy algorithm and Network topology in the investigation of issues within Submodular set function.
His primary areas of study are Maximization, Approximation algorithm, Mathematical optimization, Blockchain and Robustness. His work is dedicated to discovering how Approximation algorithm, Submodular set function are connected with Discrete mathematics, Monotonic function, Knapsack problem, Greedy algorithm and Multiplexing and other disciplines. His Mathematical optimization research is multidisciplinary, relying on both Network topology, Theory of computation and Social network.
His research investigates the connection with Robustness and areas like Differential privacy which intersect with concerns in Adversarial system and Theoretical computer science. While working on this project, My T. Thai studies both Certification and Distributed computing. My T. Thai has researched Distributed computing in several fields, including Data modeling, Interdependent networks and Telecommunications network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Energy-efficient target coverage in wireless sensor networks
M. Cardei;M.T. Thai;Yingshu Li;Weili Wu.
international conference on computer communications (2005)
Wireless Sensor Networks and Applications
Yingshu Li;My T Thai;Weili Wu.
(2008)
Adaptive algorithms for detecting community structure in dynamic social networks
Nam P. Nguyen;Thang N. Dinh;Ying Xuan;My T. Thai.
international conference on computer communications (2011)
Overlapping communities in dynamic networks: their detection and mobile applications
Nam P. Nguyen;Thang N. Dinh;Sindhura Tokala;My T. Thai.
acm/ieee international conference on mobile computing and networking (2011)
On greedy construction of connected dominating sets in wireless networks
Yingshu Li;My T. Thai;Feng Wang;Chih Wei Yi.
Wireless Communications and Mobile Computing (2005)
Detecting Critical Nodes in Interdependent Power Networks for Vulnerability Assessment
D. T. Nguyen;Yilin Shen;M. T. Thai.
IEEE Transactions on Smart Grid (2013)
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks
Hung T. Nguyen;My T. Thai;Thang N. Dinh.
international conference on management of data (2016)
Containment of misinformation spread in online social networks
Nam P. Nguyen;Guanhua Yan;My T. Thai;Stephan Eidenbenz.
web science (2012)
Connected Dominating Sets in Wireless Networks with Different Transmission Ranges
M.T. Thai;Feng Wang;Dan Liu;Shiwei Zhu.
IEEE Transactions on Mobile Computing (2007)
AI and Blockchain: A Disruptive Integration
Thang N. Dinh;My T. Thai.
IEEE Computer (2018)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Georgia State University
The University of Texas at Dallas
The University of Texas at Dallas
University of Florida
Kent State University
Virginia Tech
Arizona State University
University of Illinois at Urbana-Champaign
University of Houston
Illinois Institute of Technology
Technion – Israel Institute of Technology
University of North Texas
Shantou University
Nankai University
École Polytechnique Fédérale de Lausanne
Karolinska Institute
University of Rhode Island
University of KwaZulu-Natal
University of Burgundy
Baystate Medical Center
Norwegian Institute of Marine Research
University of Connecticut Health Center
Centers for Disease Control and Prevention
Mayo Clinic
Queen's University Belfast
Boston University